Similar to NLP, cognitive computing actually refers to a family of computer science disciplines, including machine learning, deep learning, NLP, statistics, business intelligence, data engineering, and information retrieval that, together, are used to develop systems that simulate human thought processes. Real-world implementations of cognitive systems include chatbots and virtual assistants (such as Amazon Alexa, Google Assistant, and Microsoft Cortana) that understand natural human language and provide contextual conversation interfaces, including question-answering, personalized recommendations, and information retrieval systems.
Machine Learning with Apache Spark Quick Start Guide
By :
Machine Learning with Apache Spark Quick Start Guide
By:
Overview of this book
Every person and every organization in the world manages data, whether they realize it or not. Data is used to describe the world around us and can be used for almost any purpose, from analyzing consumer habits to fighting disease and serious organized crime. Ultimately, we manage data in order to derive value from it, and many organizations around the world have traditionally invested in technology to help process their data faster and more efficiently.
But we now live in an interconnected world driven by mass data creation and consumption where data is no longer rows and columns restricted to a spreadsheet, but an organic and evolving asset in its own right. With this realization comes major challenges for organizations: how do we manage the sheer size of data being created every second (think not only spreadsheets and databases, but also social media posts, images, videos, music, blogs and so on)? And once we can manage all of this data, how do we derive real value from it?
The focus of Machine Learning with Apache Spark is to help us answer these questions in a hands-on manner. We introduce the latest scalable technologies to help us manage and process big data. We then introduce advanced analytical algorithms applied to real-world use cases in order to uncover patterns, derive actionable insights, and learn from this big data.
Related Content you might be interested in
Current Title:
Machine Learning with Apache Spark Quick Start Guide
Table of Contents (10 chapters)
Preface
Free Chapter
The Big Data Ecosystem
Setting Up a Local Development Environment
Artificial Intelligence and Machine Learning
Supervised Learning Using Apache Spark
Unsupervised Learning Using Apache Spark
Natural Language Processing Using Apache Spark
Deep Learning Using Apache Spark
Real-Time Machine Learning Using Apache Spark
Other Books You May Enjoy
Customer Reviews